We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPLP0 is not prognostic in liver cancer
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average FPKM
288.8
Number of samples
365
Samples
Sample
Description
FPKM
TCGA-CC-A7II-01A
55 years, male, asian, stage:iiia, alive, 399 days
1254.3
TCGA-FV-A3I0-01A
76 years, female, white, stage:ii, alive, 848 days
1124.9
TCGA-G3-AAV6-01A
53 years, female, white, stage:iiia, dead, 65 days
1009.7
TCGA-DD-AACP-01A
65 years, male, asian, stage:i, alive, 415 days
980.6
TCGA-CC-A123-01A
24 years, female, asian, stage:iiia, alive, 219 days
904.2
TCGA-DD-AAE0-01A
45 years, female, asian, stage:iiia, alive, 555 days
865.4
TCGA-DD-AADO-01A
55 years, male, asian, stage:i, alive, 453 days
842.2
TCGA-ED-A8O5-01A
59 years, female, asian, stage:iiia, alive, 406 days
814.2
TCGA-BC-A112-01A
80 years, male, white, dead, 153 days
808.7
TCGA-FV-A4ZP-01A
78 years, male, white, stage:iiia, dead, 2486 days
785.1
TCGA-DD-A73G-01A
73 years, female, white, stage:i, alive, 3478 days
781.6
TCGA-DD-AA3A-01A
81 years, female, white, stage:i, dead, 410 days
776.6
TCGA-G3-A25T-01A
45 years, female, white, stage:iiia, alive, 1553 days
773.0
TCGA-XR-A8TF-01A
74 years, male, white, stage:i, dead, 693 days
755.5
TCGA-BC-A69H-01A
64 years, male, white, stage:ii, alive, 444 days
728.7
TCGA-DD-AAVU-01A
46 years, male, asian, stage:ii, alive, 2202 days
708.3
TCGA-5C-A9VG-01A
58 years, male, white, stage:ii, alive, 328 days
702.8
TCGA-EP-A2KA-01A
52 years, female, white, stage:iiia, dead, 627 days
688.5
TCGA-DD-AADI-01A
43 years, female, asian, stage:i, alive, 1085 days
683.1
TCGA-UB-A7MA-01A
62 years, female, white, stage:ii, alive, 848 days
682.1
TCGA-CC-5258-01A
48 years, male, asian, stage:ii, dead, 129 days
651.2
TCGA-DD-AADN-01A
59 years, male, asian, stage:i, alive, 898 days
647.1
TCGA-DD-A39V-01A
77 years, male, white, stage:ii, dead, 643 days
603.7
TCGA-G3-A25X-01A
73 years, male, asian, stage:ii, alive, 1779 days
601.6
TCGA-KR-A7K7-01A
61 years, female, white, stage:ii, alive, 951 days
595.0
TCGA-ED-A8O6-01A
50 years, female, asian, stage:iiia, dead, 56 days
586.4
TCGA-CC-A9FW-01A
68 years, male, asian, stage:iiia, alive, 248 days
569.2
TCGA-CC-A8HV-01A
51 years, female, asian, stage:ii, dead, 279 days
560.8
TCGA-EP-A2KB-01A
46 years, female, white, stage:i, dead, 596 days
556.7
TCGA-DD-AACG-01A
52 years, male, asian, stage:ii, dead, 469 days
549.5
TCGA-DD-A1EF-01A
57 years, female, white, stage:i, dead, 394 days
536.7
TCGA-CC-A8HU-01A
39 years, female, asian, stage:iiia, dead, 344 days
534.1
TCGA-XR-A8TC-01A
43 years, female, white, stage:i, alive, 1339 days
533.1
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:i, alive, 12 days
532.9
TCGA-CC-A3M9-01A
45 years, male, asian, stage:iiia, dead, 300 days
522.1
TCGA-DD-A119-01A
40 years, male, asian, stage:iv, dead, 223 days
520.9
TCGA-DD-A3A3-01A
45 years, male, asian, stage:i, dead, 535 days
518.0
TCGA-DD-A3A7-01A
67 years, male, stage:iiib, dead, 419 days
511.5
TCGA-ES-A2HS-01A
80 years, male, white, stage:i, dead, 688 days
510.6
TCGA-G3-A7M9-01A
70 years, male, white, stage:iiib, dead, 56 days
508.1
TCGA-RC-A6M6-01A
75 years, male, white, stage:ii, alive, 9 days
505.9
TCGA-CC-A5UC-01A
63 years, male, asian, stage:iiia, dead, 347 days
497.8
TCGA-DD-AAED-01A
51 years, male, asian, stage:i, alive, 763 days
495.6
TCGA-CC-A5UE-01A
48 years, male, asian, stage:iiib, dead, 272 days
493.7
TCGA-DD-AADP-01A
45 years, male, asian, stage:i, alive, 458 days
491.5
TCGA-DD-AACB-01A
74 years, female, asian, stage:i, alive, 2324 days
490.6
TCGA-DD-AACN-01A
32 years, male, asian, stage:i, alive, 1302 days
479.6
TCGA-G3-A25Y-01A
52 years, female, asian, stage:i, dead, 452 days
467.7
TCGA-DD-A39Y-01A
67 years, male, asian, stage:i, dead, 171 days
462.5
TCGA-CC-5263-01A
35 years, male, asian, stage:iiia, dead, 129 days
457.7
TCGA-DD-AACW-01A
43 years, male, asian, stage:i, alive, 1424 days
456.8
TCGA-DD-A1EH-01A
23 years, male, white, stage:iii, alive, 1495 days
447.2
TCGA-2Y-A9GY-01A
64 years, female, white, stage:ii, dead, 757 days
441.9
TCGA-ED-A5KG-01A
60 years, female, asian, stage:ii, alive, 854 days
436.1
TCGA-DD-A4NN-01A
56 years, female, white, stage:i, dead, 899 days
435.1
TCGA-DD-AAVP-01A
48 years, male, asian, stage:i, alive, 2752 days
431.3
TCGA-CC-A7IE-01A
57 years, male, asian, stage:iiia, dead, 217 days
427.8
TCGA-DD-AACY-01A
61 years, male, asian, stage:i, alive, 1450 days
425.7
TCGA-FV-A23B-01A
70 years, female, white, stage:ii, dead, 1852 days
425.0
TCGA-DD-AADC-01A
53 years, male, asian, stage:i, dead, 425 days
424.4
TCGA-DD-AACL-01A
66 years, female, asian, stage:i, dead, 107 days
424.3
TCGA-MI-A75C-01A
64 years, male, white, stage:i, alive, 291 days
418.8
TCGA-DD-A39Z-01A
43 years, female, stage:ii, dead, 601 days
418.1
TCGA-DD-AADB-01A
51 years, male, asian, stage:i, alive, 1242 days
417.3
TCGA-DD-AAD5-01A
54 years, male, asian, stage:i, alive, 1345 days
407.8
TCGA-CC-A8HS-01A
18 years, male, asian, stage:iiic, dead, 300 days
407.6
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:iiia, alive, 20 days
406.8
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:ii, alive, 1098 days
403.6
TCGA-DD-AACZ-01A
63 years, female, asian, stage:i, dead, 171 days
399.9
TCGA-DD-A39X-01A
78 years, female, white, stage:i, dead, 1694 days
397.1
TCGA-DD-AACQ-01A
50 years, male, asian, stage:ii, dead, 432 days
395.5
TCGA-YA-A8S7-01A
69 years, male, white, stage:iiia, dead, 412 days
394.3
TCGA-DD-AAEI-01A
72 years, male, asian, stage:i, alive, 1531 days
393.6
TCGA-DD-AADW-01A
48 years, male, asian, stage:i, alive, 587 days
392.0
TCGA-MI-A75H-01A
77 years, male, white, alive, 747 days
389.8
TCGA-2Y-A9H7-01A
81 years, female, white, stage:i, alive, 1168 days
389.8
TCGA-DD-A1EJ-01A
71 years, female, white, stage:iiic, dead, 1005 days
389.1
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:ii, alive, 6 days
377.8
TCGA-CC-5262-01A
67 years, male, asian, stage:iiic, dead, 103 days
375.5
TCGA-DD-AADD-01A
51 years, male, asian, stage:i, alive, 1231 days
375.1
TCGA-RC-A7SH-01A
42 years, male, asian, stage:ii, alive, 468 days
370.3
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:i, alive, 2728 days
366.7
TCGA-DD-AACJ-01A
75 years, male, asian, stage:ii, alive, 2102 days
356.9
TCGA-DD-AAVS-01A
56 years, male, asian, stage:i, alive, 1823 days
356.5
TCGA-K7-AAU7-01A
61 years, male, white, stage:ii, alive, 359 days
356.1
TCGA-DD-A3A1-01A
65 years, male, stage:iiia, dead, 233 days
354.8
TCGA-G3-AAUZ-01A
48 years, male, stage:i, alive, 480 days
354.1
TCGA-ED-A66X-01A
35 years, male, asian, stage:iiia, alive, 406 days
351.1
TCGA-DD-AACK-01A
70 years, male, asian, stage:i, alive, 9 days
346.6
TCGA-DD-A1EI-01A
46 years, male, asian, stage:i, alive, 183 days
345.1
TCGA-DD-AACF-01A
68 years, male, asian, stage:i, dead, 365 days
343.9
TCGA-G3-A7M6-01A
60 years, female, white, stage:i, alive, 632 days
342.3
TCGA-G3-AAV5-01A
67 years, male, white, stage:ii, alive, 354 days
340.7
TCGA-EP-A3RK-01A
73 years, male, white, stage:iiia, alive, 363 days
340.2
TCGA-CC-A7IG-01A
47 years, male, asian, stage:ii, dead, 299 days
339.1
TCGA-ED-A7PY-01A
20 years, female, asian, stage:ii, alive, 390 days
338.9
TCGA-BC-A10Q-01A
72 years, female, white, dead, 1135 days
338.7
TCGA-DD-AAE1-01A
52 years, male, asian, stage:i, alive, 552 days
338.6
TCGA-BC-A5W4-01A
69 years, male, white, stage:iiia, dead, 547 days
337.8
TCGA-ED-A7PX-01A
48 years, female, asian, stage:ii, alive, 6 days
335.6
TCGA-2Y-A9H3-01A
45 years, male, white, stage:ii, alive, 1516 days
334.8
TCGA-UB-A7MB-01A
24 years, male, white, stage:ii, alive, 601 days
332.8
TCGA-DD-A4NH-01A
65 years, female, white, stage:iiib, alive, 917 days
332.3
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:ii, dead, 415 days
329.9
TCGA-DD-A3A9-01A
64 years, female, white, stage:ivb, dead, 931 days
328.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:iiia, dead, 315 days
326.5
TCGA-CC-5264-01A
71 years, male, asian, stage:iiia, dead, 102 days
324.4
TCGA-DD-A4NR-01A
85 years, female, white, stage:i, dead, 9 days
323.2
TCGA-EP-A3JL-01A
76 years, male, white, stage:i, alive, 303 days
322.5
TCGA-ED-A66Y-01A
51 years, female, asian, stage:iiia, dead, 296 days
320.6
TCGA-MI-A75I-01A
61 years, male, black or african american, alive, 630 days
319.5
TCGA-EP-A26S-01A
70 years, male, white, stage:i, alive, 608 days
318.5
TCGA-CC-A9FS-01A
55 years, male, asian, stage:ii, alive, 211 days
315.5
TCGA-DD-AADJ-01A
70 years, female, asian, stage:i, alive, 1066 days
315.1
TCGA-2Y-A9H1-01A
58 years, male, white, stage:i, dead, 1229 days
313.7
TCGA-DD-AACC-01A
61 years, male, asian, stage:i, dead, 1685 days
308.9
TCGA-DD-AACD-01A
48 years, male, asian, stage:i, dead, 381 days
307.1
TCGA-DD-AACO-01A
40 years, male, asian, stage:i, alive, 1876 days
305.1
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:i, alive, 1900 days
304.7
TCGA-G3-AAV1-01A
51 years, male, asian, stage:iiic, dead, 359 days
303.2
TCGA-ZP-A9D4-01A
64 years, female, white, alive, 395 days
301.7
TCGA-FV-A495-01A
51 years, female, white, stage:ii, alive, 1 days
297.4
TCGA-MI-A75E-01A
61 years, male, white, stage:iiic, alive, 507 days
296.9
TCGA-CC-5261-01A
44 years, male, asian, stage:ii, dead, 97 days
296.0
TCGA-FV-A2QQ-01A
80 years, male, white, stage:i, alive, 729 days
293.2
TCGA-CC-A1HT-01A
50 years, male, asian, stage:iiia, dead, 101 days
293.0
TCGA-BC-A3KF-01A
66 years, female, white, stage:i, alive, 8 days
291.8
TCGA-DD-AACI-01A
69 years, male, asian, stage:ii, alive, 1618 days
291.8
TCGA-ZS-A9CG-01A
55 years, male, white, stage:ii, alive, 341 days
289.5
TCGA-DD-AACA-01A
65 years, male, asian, stage:i, alive, 2301 days
289.1
TCGA-CC-5260-01A
61 years, female, asian, stage:iiic, dead, 87 days
287.2
TCGA-DD-AADM-01A
58 years, male, asian, stage:ii, dead, 12 days
282.9
TCGA-DD-AADR-01A
58 years, male, asian, stage:i, alive, 2028 days
281.8
TCGA-DD-A39W-01A
29 years, female, white, stage:iii, dead, 827 days
281.1
TCGA-BC-A10T-01A
76 years, male, white, dead, 837 days
279.3
TCGA-DD-A118-01A
77 years, female, white, stage:ii, alive, 3437 days
279.2
TCGA-DD-AACX-01A
66 years, male, asian, stage:ii, alive, 170 days
278.5
TCGA-DD-AAW2-01A
69 years, male, asian, stage:i, alive, 1855 days
276.1
TCGA-DD-AACU-01A
59 years, male, asian, stage:i, alive, 1567 days
276.0
TCGA-DD-A116-01A
68 years, male, asian, stage:iiia, dead, 1622 days
274.7
TCGA-MI-A75G-01A
63 years, male, white, stage:ii, alive, 698 days
274.4
TCGA-FV-A3R2-01A
75 years, male, white, stage:i, dead, 194 days
267.8
TCGA-RC-A6M4-01A
74 years, female, white, stage:iiia, alive, 22 days
265.9
TCGA-CC-A7IK-01A
59 years, male, asian, stage:iiia, dead, 262 days
265.8
TCGA-DD-A73E-01A
66 years, male, white, stage:i, alive, 44 days
265.8
TCGA-G3-AAV7-01A
38 years, male, asian, stage:ii, alive, 361 days
265.2
TCGA-G3-A25U-01A
63 years, female, asian, stage:i, alive, 1636 days
264.4
TCGA-2Y-A9GS-01A
58 years, male, white, dead, 724 days
264.0
TCGA-DD-A114-01A
42 years, male, black or african american, stage:ii, dead, 1149 days
262.8
TCGA-DD-AAEH-01A
73 years, male, asian, stage:i, alive, 784 days
259.4
TCGA-2Y-A9H0-01A
49 years, male, white, stage:iiia, alive, 3675 days
259.0
TCGA-WQ-AB4B-01A
62 years, male, white, stage:ii, alive, 395 days
258.2
TCGA-DD-AAE6-01A
59 years, female, asian, stage:i, alive, 141 days
258.2
TCGA-G3-AAV0-01A
58 years, male, asian, stage:i, alive, 476 days
257.9
TCGA-DD-A4NJ-01A
54 years, female, white, stage:ii, alive, 928 days
252.9
TCGA-DD-A1EC-01A
20 years, female, white, stage:i, alive, 602 days
252.1
TCGA-G3-AAV2-01A
50 years, male, white, stage:i, alive, 372 days
251.6
TCGA-CC-A3MA-01A
61 years, male, asian, stage:iiia, dead, 303 days
250.0
TCGA-DD-AAW3-01A
69 years, male, asian, stage:i, alive, 1633 days
249.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:ii, alive, 20 days
249.4
TCGA-2Y-A9H8-01A
85 years, female, white, dead, 633 days
248.2
TCGA-ZS-A9CE-01A
79 years, female, white, stage:ii, alive, 1241 days
247.4
TCGA-G3-AAV4-01A
83 years, female, white, stage:i, dead, 27 days
246.3
TCGA-ZS-A9CD-01A
73 years, male, white, stage:ii, dead, 1386 days
245.3
TCGA-BC-4073-01B
73 years, male, white, stage:iiia, alive, 849 days
243.7
TCGA-DD-A113-01A
55 years, female, white, stage:ii, alive, 2425 days
242.7
TCGA-DD-AADA-01A
66 years, female, asian, stage:i, alive, 1233 days
242.5
TCGA-UB-A7ME-01A
51 years, male, asian, stage:i, alive, 486 days
241.5
TCGA-ZP-A9CZ-01A
72 years, male, asian, alive, 706 days
240.0
TCGA-DD-A73D-01A
68 years, female, white, stage:ii, alive, 693 days
239.8
TCGA-G3-A7M5-01A
76 years, male, asian, stage:i, alive, 447 days
239.1
TCGA-WQ-A9G7-01A
female, white, alive, 30 days
238.8
TCGA-DD-AAD1-01A
51 years, female, asian, stage:i, alive, 564 days
237.9
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:ii, alive, 382 days
237.9
TCGA-BC-A10Y-01A
76 years, male, white, dead, 711 days
237.6
TCGA-RC-A7SB-01A
53 years, male, asian, stage:ii, alive, 588 days
236.9
TCGA-5C-A9VH-01A
70 years, male, white, stage:i, alive, 322 days
236.3
TCGA-CC-A8HT-01A
74 years, male, asian, stage:iiia, dead, 140 days
236.1
TCGA-G3-A5SJ-01A
59 years, male, white, stage:i, alive, 698 days
236.1
TCGA-G3-A3CK-01A
61 years, male, asian, stage:i, alive, 585 days
235.5
TCGA-KR-A7K2-01A
64 years, male, white, stage:i, alive, 829 days
235.3
TCGA-BC-A10S-01A
81 years, male, white, dead, 1423 days
234.8
TCGA-WX-AA44-01A
64 years, female, white, stage:i, alive, 615 days
234.2
TCGA-2Y-A9H6-01A
68 years, female, white, stage:i, alive, 357 days
232.5
TCGA-ZP-A9D0-01A
67 years, female, black or african american, alive, 1091 days
231.9
TCGA-HP-A5N0-01A
88 years, female, dead, 1147 days
229.3
TCGA-BD-A3EP-01A
76 years, female, black or african american, stage:i, alive, 409 days
229.1
TCGA-BC-A10U-01A
69 years, male, white, dead, 837 days
228.6
TCGA-XR-A8TE-01A
16 years, male, white, stage:iiia, alive, 925 days
228.5
TCGA-DD-AAVX-01A
38 years, male, asian, stage:ii, alive, 1570 days
226.9
TCGA-T1-A6J8-01A
68 years, male, white, alive, 23 days
226.5
TCGA-ED-A7XO-01A
29 years, male, asian, stage:iiia, alive, 427 days
226.5
TCGA-G3-A5SI-01A
44 years, male, asian, stage:ii, dead, 768 days
225.9
TCGA-GJ-A3OU-01A
59 years, male, white, stage:i, alive, 879 days
224.9
TCGA-FV-A3I1-01A
female, white, stage:ii, dead, 247 days
224.9
TCGA-DD-AADL-01A
58 years, male, asian, stage:i, alive, 636 days
224.6
TCGA-G3-A3CH-01A
53 years, male, asian, stage:iiia, alive, 780 days
224.1
TCGA-KR-A7K8-01A
57 years, male, stage:i, alive, 906 days
223.9
TCGA-G3-A25S-01A
64 years, male, white, stage:i, dead, 416 days
223.1
TCGA-5R-AAAM-01A
65 years, female, white, stage:ii, dead, 46 days
221.3
TCGA-DD-AAVR-01A
44 years, male, asian, stage:i, alive, 2513 days
220.9
TCGA-DD-A3A4-01A
37 years, male, white, stage:iiia, dead, 612 days
220.4
TCGA-G3-AAV3-01A
58 years, female, white, stage:ii, alive, 412 days
219.4
TCGA-G3-A25Z-01A
58 years, male, asian, stage:i, alive, 655 days
218.9
TCGA-RC-A6M5-01A
20 years, female, white, stage:iva, alive, 15 days
217.6
TCGA-DD-A4NG-01A
77 years, male, white, stage:iiia, dead, 802 days
217.3
TCGA-PD-A5DF-01A
58 years, female, white, stage:iiib, dead, 639 days
217.2
TCGA-2Y-A9H2-01A
64 years, female, white, stage:i, alive, 1731 days
216.8
TCGA-BC-A69I-01A
69 years, male, white, stage:i, alive, 387 days
216.5
TCGA-5R-AA1C-01A
57 years, male, white, stage:ii, alive, 520 days
215.6
TCGA-DD-AAVW-01A
35 years, male, asian, stage:i, alive, 2317 days
214.7
TCGA-DD-A4NE-01A
75 years, female, white, stage:iiia, dead, 660 days
214.0
TCGA-DD-AAD2-01A
66 years, male, asian, stage:i, alive, 658 days
213.6
TCGA-DD-A4ND-01A
56 years, female, white, stage:i, alive, 2746 days
211.3
TCGA-MR-A8JO-01A
34 years, male, white, stage:i, alive, 330 days
209.9
TCGA-G3-A25V-01A
68 years, male, white, stage:i, alive, 860 days
209.0
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:ii, alive, 594 days
207.6
TCGA-ED-A82E-01A
60 years, female, asian, stage:iiia, alive, 408 days
207.5
TCGA-DD-AAEE-01A
55 years, male, asian, stage:i, alive, 810 days
207.0
TCGA-DD-AADG-01A
70 years, male, asian, stage:iiia, alive, 1145 days
206.9
TCGA-DD-AAEG-01A
59 years, female, asian, stage:i, alive, 719 days
205.8
TCGA-CC-A5UD-01A
45 years, male, asian, stage:iiia, dead, 304 days
204.4
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:ii, alive, 94 days
203.8
TCGA-5R-AA1D-01A
17 years, female, white, stage:iiia, alive, 449 days
202.3
TCGA-WX-AA47-01A
33 years, female, white, stage:iiia, dead, 556 days
202.1
TCGA-FV-A3R3-01A
38 years, female, white, stage:i, dead, 366 days
201.6
TCGA-K7-A6G5-01A
66 years, male, white, stage:i, alive, 512 days
201.4
TCGA-DD-A1EE-01A
73 years, male, white, stage:iiia, dead, 349 days
201.3
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:i, dead, 19 days
201.2
TCGA-BC-A216-01A
62 years, female, white, stage:iiia, alive, 1351 days
200.8
TCGA-2Y-A9GW-01A
64 years, male, white, stage:i, dead, 1271 days
200.7
TCGA-DD-A4NQ-01A
60 years, male, white, stage:ii, dead, 373 days
199.9
TCGA-DD-AAE4-01A
49 years, female, asian, stage:i, alive, 608 days
199.4
TCGA-DD-AAE9-01A
69 years, male, asian, stage:i, alive, 722 days
199.1
TCGA-DD-AADQ-01A
59 years, male, asian, stage:ii, alive, 436 days
198.3
TCGA-DD-AAC8-01A
72 years, male, asian, stage:i, dead, 16 days
198.3
TCGA-UB-A7MC-01A
59 years, male, white, stage:iiia, alive, 500 days
198.0
TCGA-DD-AAVV-01A
56 years, male, asian, stage:ii, alive, 2455 days
197.9
TCGA-DD-AAEK-01A
51 years, male, asian, stage:ii, alive, 1067 days
197.8
TCGA-BC-A8YO-01A
66 years, female, white, stage:iiic, alive, 562 days
196.4
TCGA-DD-A1EG-01A
77 years, male, white, stage:i, dead, 1372 days
195.6
TCGA-G3-A7M7-01A
65 years, male, white, stage:i, alive, 361 days
194.1
TCGA-DD-AADK-01A
68 years, female, asian, stage:ii, alive, 1049 days
193.7
TCGA-2Y-A9H5-01A
59 years, female, white, stage:i, dead, 555 days
192.9
TCGA-ZP-A9D2-01A
51 years, male, white, dead, 765 days
192.2
TCGA-DD-A4NA-01A
67 years, female, white, stage:iiic, alive, 1008 days
191.4
TCGA-DD-AADF-01A
64 years, female, asian, stage:i, dead, 115 days
190.9
TCGA-DD-A4NS-01A
62 years, female, white, stage:i, dead, 2456 days
190.5
TCGA-CC-5259-01A
60 years, female, asian, stage:iiic, alive, 250 days
190.0
TCGA-RC-A7S9-01A
47 years, female, asian, stage:i, alive, 640 days
189.9
TCGA-DD-AAD0-01A
73 years, female, asian, stage:i, alive, 137 days
189.7
TCGA-BC-A10R-01A
66 years, female, white, dead, 308 days
188.3
TCGA-RC-A7SK-01A
59 years, male, asian, stage:i, alive, 472 days
187.7
TCGA-DD-AAE2-01A
51 years, male, asian, stage:i, alive, 638 days
187.3
TCGA-BC-4072-01B
74 years, female, white, stage:iiia, dead, 1490 days
187.2
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:iiib, alive, 396 days
185.5
TCGA-O8-A75V-01A
54 years, male, stage:i, alive, 538 days
183.9
TCGA-DD-AADY-01A
55 years, female, asian, stage:i, alive, 555 days
183.2
TCGA-DD-AAW1-01A
55 years, male, asian, stage:iiia, alive, 1989 days
181.8
TCGA-DD-A73C-01A
65 years, female, white, stage:iiia, alive, 701 days
181.3
TCGA-DD-AAVY-01A
56 years, male, asian, stage:iiia, alive, 1970 days
180.6
TCGA-DD-AADV-01A
50 years, male, asian, stage:i, alive, 574 days
180.0
TCGA-DD-A3A8-01A
75 years, male, white, stage:ii, dead, 11 days
179.9
TCGA-DD-AACH-01A
69 years, male, asian, stage:ii, dead, 195 days
179.7
TCGA-G3-A5SL-01A
70 years, male, white, stage:ii, alive, 621 days
179.3
TCGA-DD-AAC9-01A
51 years, male, asian, stage:i, alive, 347 days
179.1
TCGA-UB-A7MF-01A
57 years, male, white, stage:iiia, dead, 214 days
179.0
TCGA-BD-A2L6-01A
69 years, male, white, alive, 1363 days
178.2
TCGA-BC-A10W-01A
50 years, male, asian, dead, 91 days
177.6
TCGA-EP-A12J-01A
63 years, male, black or african american, stage:i, alive, 570 days
177.5
TCGA-ED-A627-01A
74 years, male, white, stage:i, alive, 423 days
176.7
TCGA-DD-A4NB-01A
25 years, male, white, stage:i, alive, 989 days
175.4
TCGA-DD-A3A6-01A
72 years, female, white, stage:ii, dead, 3258 days
174.7
TCGA-HP-A5MZ-01A
62 years, male, stage:i, dead, 91 days
174.1
TCGA-BC-A110-01A
51 years, female, black or african american, dead, 2116 days
172.5
TCGA-CC-A7IH-01A
58 years, male, asian, stage:iiia, alive, 365 days
171.9
TCGA-2Y-A9GU-01A
55 years, female, white, stage:i, alive, 1939 days
171.8
TCGA-2Y-A9HA-01A
70 years, male, white, stage:ii, dead, 36 days
171.2
TCGA-ED-A97K-01A
54 years, male, asian, stage:iiia, alive, 6 days
169.5
TCGA-DD-AACS-01A
39 years, male, asian, stage:i, alive, 1804 days
168.9
TCGA-DD-A4NV-01A
61 years, male, white, stage:iiia, alive, 2398 days
168.1
TCGA-UB-AA0U-01A
60 years, male, white, stage:ii, alive, 327 days
166.1
TCGA-DD-AADS-01A
63 years, male, asian, stage:i, alive, 474 days
165.5
TCGA-KR-A7K0-01A
65 years, male, white, stage:i, dead, 65 days
164.6
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:i, alive, 519 days
163.6
TCGA-DD-AAEB-01A
60 years, male, asian, stage:i, alive, 478 days
163.3
TCGA-DD-AAD6-01A
66 years, male, asian, stage:iiia, alive, 672 days
162.6
TCGA-G3-A6UC-01A
65 years, male, white, stage:iiib, alive, 671 days
161.1
TCGA-DD-AACE-01A
62 years, male, asian, stage:i, alive, 2184 days
159.7
TCGA-LG-A6GG-01A
79 years, female, white, stage:ii, alive, 387 days
159.3
TCGA-DD-AAW0-01A
54 years, male, asian, stage:i, alive, 2015 days
159.1
TCGA-GJ-A9DB-01A
68 years, male, white, stage:i, dead, 67 days
157.5
TCGA-WX-AA46-01A
62 years, male, white, stage:ii, alive, 756 days
157.4
TCGA-DD-A3A5-01A
66 years, female, white, stage:iii, dead, 3125 days
157.1
TCGA-NI-A4U2-01A
71 years, male, white, stage:iiia, dead, 1791 days
156.5
TCGA-DD-A4NP-01A
32 years, male, white, stage:i, alive, 3308 days
155.7
TCGA-DD-A3A2-01A
76 years, female, white, stage:i, dead, 2131 days
155.5
TCGA-WJ-A86L-01A
68 years, female, white, stage:i, alive, 345 days
154.1
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:i, alive, 1452 days
153.5
TCGA-DD-AAD8-01A
73 years, female, asian, stage:i, alive, 1219 days
151.8
TCGA-CC-A7IF-01A
59 years, male, asian, stage:iiia, dead, 649 days
151.7
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:i, dead, 438 days
150.9
TCGA-2Y-A9GX-01A
68 years, male, white, stage:i, alive, 2442 days
149.0
TCGA-DD-A73A-01A
71 years, male, white, stage:i, alive, 728 days
148.8
TCGA-DD-AACV-01A
53 years, male, asian, stage:i, alive, 1531 days
147.2
TCGA-DD-AAEA-01A
65 years, male, asian, stage:i, alive, 575 days
146.9
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:i, dead, 52 days
146.0
TCGA-FV-A2QR-01A
male, white, stage:i, dead, 581 days
144.5
TCGA-LG-A9QC-01A
48 years, male, white, stage:i, alive, 425 days
144.1
TCGA-ED-A4XI-01A
58 years, male, asian, stage:ii, alive, 819 days
143.3
TCGA-BC-A10Z-01A
62 years, female, white, stage:i, dead, 34 days
143.0
TCGA-ED-A7XP-01A
53 years, female, asian, stage:ii, alive, 400 days
143.0
TCGA-2Y-A9HB-01A
66 years, male, stage:i, alive, 260 days
141.3
TCGA-XR-A8TG-01A
59 years, male, white, stage:i, alive, 898 days
140.8
TCGA-BC-A3KG-01A
68 years, female, white, stage:ii, alive, 680 days
140.4
TCGA-DD-A73F-01A
77 years, female, white, stage:i, alive, 1085 days
140.4
TCGA-CC-A3MC-01A
54 years, male, asian, stage:iiia, alive, 363 days
140.1
TCGA-DD-A4NF-01A
72 years, male, white, stage:i, alive, 942 days
139.6
TCGA-ZS-A9CF-01A
64 years, male, white, stage:ii, alive, 2412 days
139.3
TCGA-ED-A459-01A
47 years, male, asian, stage:ii, alive, 910 days
139.1
TCGA-2Y-A9H9-01A
70 years, male, white, stage:i, alive, 697 days
138.9
TCGA-DD-A1EA-01A
68 years, male, asian, stage:ii, alive, 2415 days
138.6
TCGA-G3-A3CI-01A
71 years, male, white, stage:i, alive, 180 days
138.6
TCGA-DD-A115-01A
53 years, male, white, stage:iiia, dead, 2542 days
137.4
TCGA-G3-A3CG-01A
80 years, male, white, stage:i, alive, 673 days
133.6
TCGA-UB-AA0V-01A
69 years, female, white, stage:i, alive, 314 days
133.0
TCGA-2Y-A9GV-01A
54 years, female, white, stage:i, dead, 2532 days
132.0
TCGA-DD-AACT-01A
69 years, female, asian, stage:i, alive, 1562 days
131.7
TCGA-CC-A7IL-01A
61 years, male, asian, stage:iiia, dead, 278 days
131.0
TCGA-DD-A4NO-01A
66 years, male, white, stage:i, alive, 2245 days
130.7
TCGA-DD-AAD3-01A
43 years, male, asian, stage:i, alive, 1295 days
130.6
TCGA-DD-A1ED-01A
68 years, male, white, stage:i, alive, 2301 days
128.3
TCGA-DD-A1EK-01A
64 years, female, white, stage:ivb, dead, 558 days
128.2
TCGA-DD-A11A-01A
67 years, male, black or african american, stage:i, alive, 79 days
127.0
TCGA-XR-A8TD-01A
49 years, female, white, stage:iiib, alive, 1030 days
125.3
TCGA-BC-A217-01A
75 years, female, white, stage:ii, dead, 1397 days
124.5
TCGA-BC-A10X-01A
52 years, female, white, stage:iiia, dead, 770 days
124.4
TCGA-DD-AADU-01A
60 years, male, asian, stage:ii, alive, 554 days
123.9
TCGA-FV-A496-01A
84 years, female, white, stage:i, alive, 10 days
123.6
TCGA-DD-A11B-01A
73 years, male, white, stage:i, dead, 14 days
123.5
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:ii, dead, 848 days
123.3
TCGA-ZP-A9D1-01A
56 years, female, white, alive, 21 days
122.5
TCGA-G3-A5SM-01A
58 years, male, white, stage:ii, alive, 520 days
122.5
TCGA-DD-AAE7-01A
72 years, male, asian, stage:i, alive, 644 days
120.3
TCGA-MR-A520-01A
58 years, male, white, stage:i, alive, 229 days
119.1
TCGA-DD-A4NK-01A
80 years, female, white, stage:iiia, dead, 1210 days
118.4
TCGA-4R-AA8I-01A
66 years, male, white, stage:ii, dead, 262 days
117.1
TCGA-BD-A3ER-01A
62 years, male, white, stage:ii, alive, 1115 days
115.7
TCGA-RC-A7SF-01A
66 years, male, asian, stage:i, alive, 579 days
114.0
TCGA-G3-A7M8-01A
31 years, male, asian, stage:i, alive, 430 days
112.9
TCGA-DD-AAE3-01A
50 years, male, asian, stage:i, alive, 566 days
112.9
TCGA-LG-A9QD-01A
68 years, male, white, stage:iiia, alive, 366 days
110.8
TCGA-GJ-A6C0-01A
75 years, female, white, stage:ii, dead, 31 days
110.5
TCGA-DD-A73B-01A
72 years, female, white, stage:i, dead, 283 days
110.0
TCGA-DD-A4NI-01A
67 years, male, white, stage:ii, alive, 816 days
105.0
TCGA-DD-A1EB-01A
72 years, female, stage:i, alive, 2017 days
99.8
TCGA-DD-A4NL-01A
46 years, male, white, stage:i, alive, 1711 days
97.8
TCGA-ZP-A9CV-01A
59 years, male, white, dead, 1088 days
92.6
TCGA-2Y-A9GT-01A
51 years, male, white, stage:i, dead, 1624 days
91.1
TCGA-ZP-A9CY-01A
66 years, female, white, alive, 782 days
86.8
TCGA-K7-A5RF-01A
64 years, male, white, stage:i, alive, 631 days
83.2
TCGA-DD-A11C-01A
69 years, male, white, stage:i, alive, 662 days
77.3
TCGA-G3-A5SK-01A
58 years, male, white, stage:i, alive, 744 days
75.5
TCGA-NI-A8LF-01A
74 years, male, white, stage:i, alive, 799 days
68.8
TCGA-DD-A11D-01A
57 years, female, white, stage:i, dead, 1560 days
49.8
Show allShow less
LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
